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Relevant bibliographies by topics / REVERSIBLE MULTIPLIER

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Academic literature on the topic 'REVERSIBLE MULTIPLIER'

Author: Grafiati

Published: 11 September 2023

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Journal articles on the topic "REVERSIBLE MULTIPLIER"

1

HAGHPARAST, MAJID, MAJID MOHAMMADI, KEIVAN NAVI, and MOHAMMAD ESHGHI. "OPTIMIZED REVERSIBLE MULTIPLIER CIRCUIT." Journal of Circuits, Systems and Computers 18, no. 02 (April 2009): 311–23. http://dx.doi.org/10.1142/s0218126609005083.

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Reversible logic circuits have received significant attention in quantum computing, low power CMOS design, optical information processing, DNA computing, bioinformatics, and nanotechnology. This paper presents two new 4 × 4 bit reversible multiplier designs which have lower hardware complexity, less garbage bits, less quantum cost and less constant inputs than previous ones, and can be generalized to construct efficient reversible n × n bit multipliers. An implementation of reversible HNG is also presented. This implementation shows that the full adder design using HNG is one of the best designs in term of quantum cost. An implementation of MKG is also presented in order to have a fair comparison between our proposed reversible multiplier designs and the existing counterparts. The proposed reversible multipliers are optimized in terms of quantum cost, number of constant inputs, number of garbage outputs and hardware complexity. They can be used to construct more complex systems in nanotechnology.

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2

Rashno, Meysam, Majid Haghparast, and Mohammad Mosleh. "A new design of a low-power reversible Vedic multiplier." International Journal of Quantum Information 18, no. 03 (April 2020): 2050002. http://dx.doi.org/10.1142/s0219749920500021.

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In recent years, there has been an increasing tendency towards designing circuits based on reversible logic, and has received much attention because of preventing internal power dissipation. In digital computing systems, multiplier circuits are one of the most fundamental and practical circuits used in the development of a wide range of hardware such as arithmetic circuits and Arithmetic Logic Unit (ALU). Vedic multiplier, which is based on Urdhva Tiryakbhayam (UT) algorithm, has many applications in circuit designing because of its high speed in performing multiplication compared to other multipliers. In Vedic multipliers, partial products are obtained through vertical and cross multiplication. In this paper, we propose four [Formula: see text] reversible Vedic multiplier blocks and use each one of them in its right place. Then, we propose a [Formula: see text] reversible Vedic multiplier using the four aforementioned multipliers. We prove that our design leads to better results in terms of quantum cost, number of constant inputs and number of garbage outputs, compared to the previous ones. We also expand our proposed design to [Formula: see text] multipliers which enable us to develop our proposed design in every dimension. Moreover, we propose a formula in order to calculate the quantum cost of our proposed [Formula: see text] reversible Vedic multiplier, which allows us to calculate the quantum cost even before designing the multiplier.

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3

Rayudu, Kurada Verra Bhoga Vasantha, Dhananjay Ramachandra Jahagirdar, and Patri Srihari Rao. "Design and testing of systolic array multiplier using fault injecting schemes." Computer Science and Information Technologies 3, no. 1 (March 1, 2022): 1–9. http://dx.doi.org/10.11591/csit.v3i1.p1-9.

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Nowadays low power design circuits are major important for data transmission and processing the information among various system designs. One of the major multipliers used for synchronizing the data transmission is the systolic array multiplier, low power designs are mostly used for increasing the performance and reducing the hardware complexity. Among all the mathematical operations, multiplier plays a major role where it processes more information and with the high complexity of circuit in the existing irreversible design. We develop a systolic array multiplier using reversible gates for low power appliances, faults and coverage of the reversible logic are calculated in this paper. To improvise more, we introduced a reversible logic gate and tested the reversible systolic array multiplier using the fault injection method of built-in self-test block observer (BILBO) in which all corner cases are covered which shows 97% coverage compared with existing designs. Finally, Xilinx ISE 14.7 was used for synthesis and simulation results and compared parameters with existing designs which prove more efficiency.

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4

Durgam, Veena, and Dr K. Ragini. "Design of 32x32 Reversible Unsigned Multiplier Using Dadda Tree Algorithm." ECS Transactions 107, no. 1 (April 24, 2022): 16251–58. http://dx.doi.org/10.1149/10701.16251ecst.

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Multipliers are essential parts of every processor or computer. Microcontrollers and digital signal processors typically measure their performance on how many multiplications they can execute in a given amount of time. As a result, better multiplier designs are sure to increase system efficiency. A reversible Dadda multiplier is one such possible approach. The Dadda tree technique is used to construct two 32x32 reversible unsigned multipliers in this paper. The TG and FG gates are accustomed to create the partial product circuit in the first design. The PG and TG are utilized to create a partial product circuit in the second design. For adding partial products, the PG and reversible full adder gates are used. The design is implemented using Xilinx ISE 14.7 design suite.

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5

Raviteja, Ragoju, Mittapelli Kalyan Krishna, Gare Sandhya, and N. Srinivasa Reddy. "Approximative Signed Wallace Tree Multiplier Using Reversible Logic." International Journal for Research in Applied Science and Engineering Technology 11, no. 4 (April 30, 2023): 2474–78. http://dx.doi.org/10.22214/ijraset.2023.50668.

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Abstract: The bulk of high-performance and information systems, including microcomputers and digital signal processors, have multipliers as an essential piece of hardware. Convolutional unit are the computationally demanding and performancedetermining operating units in the vast majority of signal conditioning applications. Its length, latency, and power for convolution units, which largely employ adders and multiplyers, are strongly influenced by multipliers. Multimedia and convolution neural networks, which employ processing units, are two examples of real-world applications that place a high demand on high speed multipliers which are optimised both size and power. This project presents an innovative approximation sign Wallace tree multiplication with a approximative 4:2 compressor. Reversible circuitry improves the design for implementation.

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6

Zomorodi Moghadam, Mariam, and Keivan Navi. "Ultra-area-efficient reversible multiplier." Microelectronics Journal 43, no. 6 (June 2012): 377–85. http://dx.doi.org/10.1016/j.mejo.2012.02.004.

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7

Eshack, Ansiya, and S. Krishnakumar. "Reversible logic in pipelined low power vedic multiplier." Indonesian Journal of Electrical Engineering and Computer Science 16, no. 3 (December 1, 2019): 1265. http://dx.doi.org/10.11591/ijeecs.v16.i3.pp1265-1272.

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<span>With an ever growing demand for low-power devices, it is a general trend to search for ways to reduce the power consumption of a system. Multipliers are an important requirement in applications linked to Digital Signal Processing, Communication Systems, Optical Computing, Nanotechnology, Low-Power Very Large Scale Integration and Quantum Computing. Conventional mathematics makes multiplication a very long and time consuming process. The use of Vedic mathematics has led to great reduction in the time required for such calculations. The excessive use of Urdhava Tiryakbhyam sutra in multiplication surely proves its effectiveness and simplicity in this domain. This sutra supports the process of pipelining, a method employed in reduction of the power used by a system. Reversible logic has been gaining demand due to its low-power capabilities and is currently being used in many computing applications. The paper proposes two multiplier systems: one design employs the Urdhava Tiryakbhyam sutra along with pipelining and the second uses reversible logic gates into the first design. These proposed systems provide very less delay for result computation and low hardware utilization when compared to non-pipelined Vedic multipliers.</span>

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8

Saravanan. "NOVEL REVERSIBLE VARIABLE PRECISION MULTIPLIER USING REVERSIBLE LOGIC GATES." Journal of Computer Science 10, no. 7 (July 1, 2014): 1135–38. http://dx.doi.org/10.3844/jcssp.2014.1135.1138.

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9

Ariafar, Zahra, and Mohammad Mosleh. "Effective Designs of Reversible Vedic Multiplier." International Journal of Theoretical Physics 58, no. 8 (May 24, 2019): 2556–74. http://dx.doi.org/10.1007/s10773-019-04145-0.

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10

SaiAbhinav, B., M. Jaipal Reddy, Y. Siva Kumar, and S. Sivanantham S.Sivanantham. "ASIC Design of Reversible Adder and Multiplier." International Journal of Computer Applications 109, no. 10 (January 16, 2015): 6–10. http://dx.doi.org/10.5120/19222-0638.

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Dissertations / Theses on the topic "REVERSIBLE MULTIPLIER"

1

Bollinger, Patrick James. "Prime Factorization Through Reversible Logic Gates." Youngstown State University / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ysu1558867948427409.

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2

Morrison, Matthew Arthur. "Design of a Reversible ALU Based on Novel Reversible Logic Structures." Scholar Commons, 2012. http://scholarcommons.usf.edu/etd/4175.

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Programmable reversible logic is emerging as a prospective logic design style for implementation in modern nanotechnology and quantum computing with minimal impact on circuit heat generation. Recent advances in reversible logic using and quantum computer algorithms allow for improved computer architecture and arithmetic logic unit designs. In this paper, a 2*2 Swap gate which is a reduced implementation in terms of quantum cost and delay to the previous Swap gate is presented. Next, a novel 3*3 programmable UPG gate capable of calculating the fundamental logic calculations is presented and verified, and its advantages over the Toffoli and Peres gates are discussed. The UPG is then implemented in a reduced design for calculating n-bit AND, n-bit OR and n-bit ZERO calculations. Then, two 3*3 RMUX gates capable of multiplexing two input values with reduced quantum cost and delay compared to the previously existing Fredkin gate is presented and verified. Next, 4*4 reversible gate is presented and verified which is capable of producing the calculations necessary for two-bit comparisons. The UPG and RC are implemented in the design of novel sequential and tree-based comparators. Then, two novel 4*4 reversible logic gates (MRG and PAOG) are proposed with minimal delay, and may be configured to produce a variety of logical calculations on fixed output lines based on programmable select input lines. A 5*5 structure (MG) is proposed that extends the capabilities of both the MRG and PAOG. The comparator designs are verified and its advantages to previous designs are discussed. Then, reversible implementations of ripple-carry, carry-select and Kogge-Stone carry look-ahead adders are analyzed and compared. Next, implementations of the Kogge-Stone adder with sparsity-4, 8 and 16 were designed, verified and compared. The enhanced sparsity-4 Kogge-Stone adder with ripple-carry adders was selected as the best design, and its implemented in the design of a 32-bit arithmetic logic unit is demonstrated. The proposed ALU design is verified and its advantages over the only existing ALU design are quantitatively analyzed.

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3

Cabbage, Sarah E. "Reversible regulatory T cell-mediated suppression of myelin basic protein-specific T cells /." Thesis, Connect to this title online; UW restricted, 2006. http://hdl.handle.net/1773/5034.

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Bérut, Antoine. "Fluctuations and Interactions of Brownian particles in multiple Optical Traps." Thesis, Lyon, École normale supérieure, 2015. http://www.theses.fr/2015ENSL1003/document.

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Nous avons étudié expérimentalement les fluctuations de micro-particules browniennes piégées à l'aide de pinces optiques dans un réseau de puits de potentiels voisins. Nous donnons un descriptif général du montage expérimental, puis détaillons quatre utilisations différentes du système. Nous avons d'abord utilisé une unique particule dans un double puits de potentiel pour modéliser un système mémoire à deux niveaux, avec lequel nous avons vérifié le principe de Landauer sur le coût minimal en énergie pour l'effacement d'un bit d'information. Nous avons également appliqué une version détaillée d'un théorème de fluctuation à la procédure d'effacement de l'information pour retrouver la limite énergétique attendue. Nous avons ensuite étudié l'interaction hydrodynamique entre deux particules dont l'une est soumise à une température effective. Nous avons montré qu'il n'y a pas de fluctuations anormales lors de la transition sol-gel de la gélatine, contrairement à ce qui avait été observé précédemment, et que ce système ne pouvait donc pas être utilisé pour étudier des températures effectives. En revanche, nous avons montré que l'ajout d'un forçage aléatoire bien choisi sur la position d'un piège créait une température effective. Nous avons montré que le forçage d'une des particules résultait en une corrélation instantanée entre les mouvements des deux particules, et s'accompagnait d'un échange de chaleur de la particule virtuellement chaude à la particule froide en équilibre avec le bain thermique. Nous avons obtenu un bon accord entre les données expérimentales et les prédictions d'un modèle de couplage hydrodynamique. Enfin, nous décrivons l'utilisation de canaux micro-fluidiques pour réaliser un écoulement cisaillé à l'échelle micrométrique, et nous discutons de la possibilité d'interpréter un cisaillement en terme de température effective en testant une relation de fluctuation-dissipation
We experimentally study the fluctuations of Brownian micro-particles trapped with optical tweezers arranged in various spatial configurations. We give a general description of the set-up and detail four different experiments we conducted. We first use a single particle in a double-well potential to model a two-state memory system. We verify the Landauer principle on the minimal energetic cost to erase one bit of information, and we use a detailed version of a fluctuation theorem to retrieve the expected energetic bound. We then use two particles in two different traps to study the hydrodynamic interactions between two systems kept at different effective temperatures. Contrary to what was previously observed, we show that the sol-gel transition of gelatine does not provide any anomalous fluctuations for the trapped particle when the sample is quenched below gelification temperature. However, we show that an effective temperature is created when a well chosen random noise is added on one trap position. We demonstrate that the random forcing on one particle induces an instantaneous correlation between the two particles motions, and an energy exchange from the virtually hot particle to the cold one, which is in equilibrium with the thermal bath. We show a good agreement between the experimental data and the predictions from an hydrodynamic coupling model. Finally, we describe the use of micro-fluidic channels to create a shear flow at the micron size, and we discuss the possibility to interpret the force due to the shear-flow in terms of an effective temperature by testing a fluctuation-dissipation relation

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5

O'Leary, Rebecca A. "Informed statistical modelling of habitat suitability for rare and threatened species." Thesis, Queensland University of Technology, 2008. https://eprints.qut.edu.au/17779/1/Rebecca_O%27Leary_Thesis.pdf.

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In this thesis a number of statistical methods have been developed and applied to habitat suitability modelling for rare and threatened species. Data available on these species are typically limited. Therefore, developing these models from these data can be problematic and may produce prediction biases. To address these problems there are three aims of this thesis. The _rst aim is to develop and implement frequentist and Bayesian statistical modelling approaches for these types of data. The second aim is develop and implement expert elicitation methods. The third aim is to apply these novel approaches to Australian rare and threatened species case studies with the intention of habitat suitability modelling. The _rst aim is ful_lled by investigating two innovative approaches for habitat suitability modelling and sensitivity analysis of the second approach to priors. The _rst approach is a new multilevel framework developed to model the species distribution at multiple scales and identify excess zeros (absences outside the species range). Applying a statistical modelling approach to the identi_cation of excess zeros has not previously been conducted. The second approach is an extension and application of Bayesian classi_cation trees to modelling the habitat suitability of a threatened species. This is the _rst `real' application of this approach in ecology. Lastly, sensitivity analysis of the priors in Bayesian classi_cation trees are examined for a real case study. Previously, sensitivity analysis of this approach to priors has not been examined. To address the second aim, expert elicitation methods are developed, extended and compared in this thesis. In particular, one elicitation approach is extended from previous research, there is a comparison of three elicitation methods, and one new elicitation approach is proposed. These approaches are illustrated for habitat suitability modelling of a rare species and the opinions of one or two experts are elicited. The _rst approach utilises a simple questionnaire, in which expert opinion is elicited on whether increasing values of a covariate either increases, decreases or does not substantively impact on a response. This approach is extended to express this information as a mixture of three normally distributed prior distributions, which are then combined with available presence/absence data in a logistic regression. This is one of the _rst elicitation approaches within the habitat suitability modelling literature that is appropriate for experts with limited statistical knowledge and can be used to elicit information from single or multiple experts. Three relatively new approaches to eliciting expert knowledge in a form suitable for Bayesian logistic regression are compared, one of which is the questionnaire approach. Included in this comparison of three elicitation methods are a summary of the advantages and disadvantages of these three methods, the results from elicitations and comparison of the prior and posterior distributions. An expert elicitation approach is developed for classi_cation trees, in which the size and structure of the tree is elicited. There have been numerous elicitation approaches proposed for logistic regression, however no approaches have been suggested for classi_cation trees. The last aim of this thesis is addressed in all chapters, since the statistical approaches proposed and extended in this thesis have been applied to real case studies. Two case studies have been examined in this thesis. The _rst is the rare native Australian thistle (Stemmacantha australis), in which the dataset contains a large number of absences distributed over the majority of Queensland, and a small number of presence sites that are only within South-East Queensland. This case study motivated the multilevel modelling framework. The second case study is the threatened Australian brush-tailed rock-wallaby (Petrogale penicillata). The application and sensitivity analysis of Bayesian classi_cation trees, and all expert elicitation approaches investigated in this thesis are applied to this case study. This work has several implications for conservation and management of rare and threatened species. Novel statistical approaches addressing the _rst aim provide extensions to currently existing methods, or propose a new approach, for identi _cation of current and potential habitat. We demonstrate that better model predictions can be achieved using each method, compared to standard techniques. Elicitation approaches addressing the second aim ensure expert knowledge in various forms can be harnessed for habitat modelling, a particular bene_t for rare and threatened species which typically have limited data. Throughout, innovations in statistical methodology are both motivated and illustrated via habitat modelling for two rare and threatened species: the native thistle Stemmacantha australis and the brush-tailed rock wallaby Petrogale penicillata.

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6

O'Leary, Rebecca A. "Informed statistical modelling of habitat suitability for rare and threatened species." Queensland University of Technology, 2008. http://eprints.qut.edu.au/17779/.

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In this thesis a number of statistical methods have been developed and applied to habitat suitability modelling for rare and threatened species. Data available on these species are typically limited. Therefore, developing these models from these data can be problematic and may produce prediction biases. To address these problems there are three aims of this thesis. The _rst aim is to develop and implement frequentist and Bayesian statistical modelling approaches for these types of data. The second aim is develop and implement expert elicitation methods. The third aim is to apply these novel approaches to Australian rare and threatened species case studies with the intention of habitat suitability modelling. The _rst aim is ful_lled by investigating two innovative approaches for habitat suitability modelling and sensitivity analysis of the second approach to priors. The _rst approach is a new multilevel framework developed to model the species distribution at multiple scales and identify excess zeros (absences outside the species range). Applying a statistical modelling approach to the identi_cation of excess zeros has not previously been conducted. The second approach is an extension and application of Bayesian classi_cation trees to modelling the habitat suitability of a threatened species. This is the _rst `real' application of this approach in ecology. Lastly, sensitivity analysis of the priors in Bayesian classi_cation trees are examined for a real case study. Previously, sensitivity analysis of this approach to priors has not been examined. To address the second aim, expert elicitation methods are developed, extended and compared in this thesis. In particular, one elicitation approach is extended from previous research, there is a comparison of three elicitation methods, and one new elicitation approach is proposed. These approaches are illustrated for habitat suitability modelling of a rare species and the opinions of one or two experts are elicited. The _rst approach utilises a simple questionnaire, in which expert opinion is elicited on whether increasing values of a covariate either increases, decreases or does not substantively impact on a response. This approach is extended to express this information as a mixture of three normally distributed prior distributions, which are then combined with available presence/absence data in a logistic regression. This is one of the _rst elicitation approaches within the habitat suitability modelling literature that is appropriate for experts with limited statistical knowledge and can be used to elicit information from single or multiple experts. Three relatively new approaches to eliciting expert knowledge in a form suitable for Bayesian logistic regression are compared, one of which is the questionnaire approach. Included in this comparison of three elicitation methods are a summary of the advantages and disadvantages of these three methods, the results from elicitations and comparison of the prior and posterior distributions. An expert elicitation approach is developed for classi_cation trees, in which the size and structure of the tree is elicited. There have been numerous elicitation approaches proposed for logistic regression, however no approaches have been suggested for classi_cation trees. The last aim of this thesis is addressed in all chapters, since the statistical approaches proposed and extended in this thesis have been applied to real case studies. Two case studies have been examined in this thesis. The _rst is the rare native Australian thistle (Stemmacantha australis), in which the dataset contains a large number of absences distributed over the majority of Queensland, and a small number of presence sites that are only within South-East Queensland. This case study motivated the multilevel modelling framework. The second case study is the threatened Australian brush-tailed rock-wallaby (Petrogale penicillata). The application and sensitivity analysis of Bayesian classi_cation trees, and all expert elicitation approaches investigated in this thesis are applied to this case study. This work has several implications for conservation and management of rare and threatened species. Novel statistical approaches addressing the _rst aim provide extensions to currently existing methods, or propose a new approach, for identi _cation of current and potential habitat. We demonstrate that better model predictions can be achieved using each method, compared to standard techniques. Elicitation approaches addressing the second aim ensure expert knowledge in various forms can be harnessed for habitat modelling, a particular bene_t for rare and threatened species which typically have limited data. Throughout, innovations in statistical methodology are both motivated and illustrated via habitat modelling for two rare and threatened species: the native thistle Stemmacantha australis and the brush-tailed rock wallaby Petrogale penicillata.

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7

Kuhnert, Petra Meta. "New methodology and comparisons for the analysis of binary data using Bayesian and tree based methods." Thesis, Queensland University of Technology, 2003.

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8

Assareh, Hassan. "Bayesian hierarchical models in statistical quality control methods to improve healthcare in hospitals." Thesis, Queensland University of Technology, 2012. https://eprints.qut.edu.au/53342/1/Hassan_Assareh_Thesis.pdf.

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Quality oriented management systems and methods have become the dominant business and governance paradigm. From this perspective, satisfying customers’ expectations by supplying reliable, good quality products and services is the key factor for an organization and even government. During recent decades, Statistical Quality Control (SQC) methods have been developed as the technical core of quality management and continuous improvement philosophy and now are being applied widely to improve the quality of products and services in industrial and business sectors. Recently SQC tools, in particular quality control charts, have been used in healthcare surveillance. In some cases, these tools have been modified and developed to better suit the health sector characteristics and needs. It seems that some of the work in the healthcare area has evolved independently of the development of industrial statistical process control methods. Therefore analysing and comparing paradigms and the characteristics of quality control charts and techniques across the different sectors presents some opportunities for transferring knowledge and future development in each sectors. Meanwhile considering capabilities of Bayesian approach particularly Bayesian hierarchical models and computational techniques in which all uncertainty are expressed as a structure of probability, facilitates decision making and cost-effectiveness analyses. Therefore, this research investigates the use of quality improvement cycle in a health vii setting using clinical data from a hospital. The need of clinical data for monitoring purposes is investigated in two aspects. A framework and appropriate tools from the industrial context are proposed and applied to evaluate and improve data quality in available datasets and data flow; then a data capturing algorithm using Bayesian decision making methods is developed to determine economical sample size for statistical analyses within the quality improvement cycle. Following ensuring clinical data quality, some characteristics of control charts in the health context including the necessity of monitoring attribute data and correlated quality characteristics are considered. To this end, multivariate control charts from an industrial context are adapted to monitor radiation delivered to patients undergoing diagnostic coronary angiogram and various risk-adjusted control charts are constructed and investigated in monitoring binary outcomes of clinical interventions as well as postintervention survival time. Meanwhile, adoption of a Bayesian approach is proposed as a new framework in estimation of change point following control chart’s signal. This estimate aims to facilitate root causes efforts in quality improvement cycle since it cuts the search for the potential causes of detected changes to a tighter time-frame prior to the signal. This approach enables us to obtain highly informative estimates for change point parameters since probability distribution based results are obtained. Using Bayesian hierarchical models and Markov chain Monte Carlo computational methods, Bayesian estimators of the time and the magnitude of various change scenarios including step change, linear trend and multiple change in a Poisson process are developed and investigated. The benefits of change point investigation is revisited and promoted in monitoring hospital outcomes where the developed Bayesian estimator reports the true time of the shifts, compared to priori known causes, detected by control charts in monitoring rate of excess usage of blood products and major adverse events during and after cardiac surgery in a local hospital. The development of the Bayesian change point estimators are then followed in a healthcare surveillances for processes in which pre-intervention characteristics of patients are viii affecting the outcomes. In this setting, at first, the Bayesian estimator is extended to capture the patient mix, covariates, through risk models underlying risk-adjusted control charts. Variations of the estimator are developed to estimate the true time of step changes and linear trends in odds ratio of intensive care unit outcomes in a local hospital. Secondly, the Bayesian estimator is extended to identify the time of a shift in mean survival time after a clinical intervention which is being monitored by riskadjusted survival time control charts. In this context, the survival time after a clinical intervention is also affected by patient mix and the survival function is constructed using survival prediction model. The simulation study undertaken in each research component and obtained results highly recommend the developed Bayesian estimators as a strong alternative in change point estimation within quality improvement cycle in healthcare surveillances as well as industrial and business contexts. The superiority of the proposed Bayesian framework and estimators are enhanced when probability quantification, flexibility and generalizability of the developed model are also considered. The empirical results and simulations indicate that the Bayesian estimators are a strong alternative in change point estimation within quality improvement cycle in healthcare surveillances. The superiority of the proposed Bayesian framework and estimators are enhanced when probability quantification, flexibility and generalizability of the developed model are also considered. The advantages of the Bayesian approach seen in general context of quality control may also be extended in the industrial and business domains where quality monitoring was initially developed.

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9

RUHELA, DIKSHA. "DESIGN AND IMPLEMENTATION OF EFFICIENT REVERSIBLE MULTIPLIER USING VEDIC MATHEMATICS TOOL." Thesis, 2016. http://dspace.dtu.ac.in:8080/jspui/handle/repository/14759.

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Multiplier is one of the important block in almost all the arithmetic logic units. These multipliers are mostly used in the fields of the Digital Signal Processing (DSP), Fast Fourier Transform, convolution, filtering and microprocessor applications. A system's performance is generally determined by the performance of the multiplier, because the multiplier is generally the slowest element in the system. Furthermore, it is generally the most area consuming. Hence, optimizing the speed and area of the multiplier is a major design issue. Since multiplier is the main component and hence a high speed and area efficient multiplier can be achieve by using Vedic mathematics. In this work we have implemented the Vedic multiplier using Chinese Abacus Adder with and without using Reversible logic gates. Reversible logic is one of the promising fields for future low power design technologies. Since one of the requirements of all DSP processors and other embedded devices is to minimize power dissipation multipliers with high speed and lower dissipations are critical. This work is devoted to the design of a high speed Vedic multiplier using reversible logic gates. For arithmetic multiplication, various Vedic multiplication techniques like Urdhva Tiryakbhyam, Nikhilam and Anurupye have been thoroughly discussed. It has been found that Urdhva Tiryakbhyam Sutra is the most efficient Sutra (Algorithm), giving minimum delay for multiplication of all types of numbers, either small or large. Further, the Verilog HDL coding of Urdhva Tiryakbhyam Sutra for 32x32 bits and 64x64 bits multiplication and their FPGA implementation by Xilinx Synthesis Tool on Spartan 3E kit have been done. The synthesis results show that the computation time for calculating the product of 4x4 multiplication is less as compared with other conventional multipliers.

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Hua, Chen-Wei, and 華振崴. "Multiple Acceleration on Reversible Markov Chain." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/2hd8vc.

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碩士
國立臺灣大學
數學研究所
107
Chen and Hwang, 2013 proposed to improve a reversible Markov chain by adding an antisymmetric perturbation on a cycle. Since the perturbed Markov chain is no longer reversible, one can not iteratively apply this antisymmetric perturbation method on different cycles. Chen and Hwang, 2013 also showed that the method works on disjoint cycles. In this paper, we further investigate the case of two cycles sharing the same vertex. We will show that the method can work on two cycles under some additional conditions. In addition to the theory, we implement the antisymmetric perturbation method on the Ising model.

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Books on the topic "REVERSIBLE MULTIPLIER"

1

K, Kokula Krishna Hari, ed. Implementation of Novel Reversible Multiplier Architecture Using Reversible 4*4 TSG Gate: ICIEMS 2014. India: Association of Scientists, Developers and Faculties, 2014.

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la, Torre Mónica de, and Wiegers Michael, eds. Reversible monuments: Contemporary Mexican poetry. Port Townsend, Wash: Copper Canyon Press, 2002.

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Reid, Alastair, Susan Jill Levine, Geoff Hargreaves, Mónica de la Torre, and Margaret Sayers Peden. Reversible Monuments. Copper Canyon Press, 2002.

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Sentissi, Kinza, and Stephanie Yacoubian. Physiologic Airflow Disruption. Edited by Matthew D. McEvoy and Cory M. Furse. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190226459.003.0017.

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Airflow disruption can be triggered through multiple mechanisms. The obstruction can stem from within the airway lumen, airway walls, or the tissues surrounding it. This section focuses on airflow disruption initiated by bronchospasm, obstructive lung disease, asthma and status asthmaticus. Bronchospasm presents with increased airway resistance secondary to airway hyperreactivity or anaphylaxis. Asthma and chronic obstructive pulmonary disease (COPD) are obstructive and inflammatory lung pathologies. Airflow disruption in asthma is reversible between exacerbations. The airway obstruction in COPD is not fully reversible. Status asthmaticus is the most severe presentation of asthma and can be life threatening. Poorly controlled obstructive lung disease can result in perioperative complications. Patients should therefore be medically optimized before undergoing operative procedures.

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Rubin, Mark N., and Alejandro A. Rabinstein. Electrolyte Disturbances. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780199937837.003.0183.

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The neurological manifestations of abnormal electrolyte concentrations and acid-base disturbances can be multiple and often nonspecific. They are typically determined by the acuity and severity of the derangement. Detailed history and physical examination may guide appropriate laboratory testing and lead to prompt and accurate diagnosis. Neurological symptoms and signs are typically reversible if the underlying systemic disorder is detected and treated early. However, severe long-term neurologic sequelae can occur if treatment is delayed. The focus of this chapter is to detail the scientific fundamentals, clinical presentation, laboratory testing, and management of the various electrolyte and acid-base disorders associated with neurologic impairment.

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Pagnoux, Christian, and Richard H. Swartz. Vasculitis of the Central Nervous System. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780199937837.003.0099.

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Central nervous system (CNS) vasculitis is an extremely challenging diagnostic and therapeutic disease. Multiple conditions, including reversible cerebral vasoconstrictive syndrome and intracranial atherosclerosis, can mimic it. Infections, systemic diseases, particularly systemic vasculitides, drug abuse, neoplasms, and some other disorders can cause secondary CNS vasculitis. Primary CNS vasculitis is extremely rare. A definite diagnosis requires a brain biopsy, which may show granulomatous inflammation, lymphocytic inflammation, and/or acute necrotizing vasculitis. The pathogeny remains unknown. The treatment of secondary CNS vasculitis relies on that of its cause, whereas treatment for primary CNS vasculitis is not codified but usually relies on high-dose glucocorticoids, combined, at least for the most severe forms, with an immunosuppressant, mainly cyclophosphamide.

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Goodman, Wayne K., Nigel Kennedy, Kyle Lapidus, and Brian H. Kopell. Deep Brain Stimulation for Intractable OCD. Edited by Christopher Pittenger. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190228163.003.0046.

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This chapter discusses the use of deep brain stimulation (DBS) for intractable OCD. In contrast to ablative procedures, DBS has the advantages of being reversible (explantable) and adjustable. In 2010, the FDA approved a Humanitarian Device Exemption (HDE) for ventral capsule/ventral striatum DBS in intractable OCD, based upon the device’s safety and its probable benefit, for up to 4,000 people a year in the US. DBS is only suitable for adult patients who remain severely ill despite multiple medication trials and adequate treatment with cognitive behavioral therapy. Further research is needed to further test the efficacy of DBS in OCD, compare targets, identify predictors of response, and optimize programming. Future DBS systems may take advantage of closed loop technology in which feedback from the brain is used to adjust stimulation automatically according to the patient’s changing needs.

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Brooks, Melody, and Roland Kays. Kinkajou: the tree-top specialist. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198759805.003.0026.

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Kinkajous have evolved a suite of unique adaptations not seen in other Carnivores, helping them thrive in the canopies of neotropical forests. They have a prehensile tail and reversible hind feet to help them climb trees, and large eyes and scent glands to help them navigate complex tropical canopies at night. By sticking to the treetops at night kinkajous have very few potential predators, and this frees them from the need move in large groups for protection, as seen in most diurnal primates. Instead, kinkajous live in small social groups that forage for fruits and flowers mostly as singletons, but reunite at large feeding or sleeping trees. Females defend exclusive territories against each other while males form small coalitions to defend larger areas that overlap with multiple females. Fruit comprises 90-99% of their diet, making kinkajous one of the most frugivorous mammals on earth, and an important seed disperser.

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Nihoyannopoulos, Petros, and Fausto Pinto. Ischaemic heart disease. Oxford University Press, 2011. http://dx.doi.org/10.1093/med/9780199599639.003.0012.

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Echocardiography with its multiple modalities plays a central role in the evaluation of patients with known or suspected coronary artery disease, starting from the differential diagnosis of the patient presenting with acute chest pain. In the patient presenting with acute myocardial infarction (raised troponins) whether it is with ST-segment elevation or without, echocardiography is the first imaging modality used in order to ascertain the presence and extent of LV dysfunction and the presence of complications. In the absence of myocardial infarction (negative troponins), echocardiography will play an important diagnostic role in identifying the presence of reversible myocardial ischaemia. Stress echocardiography in many institutions is now the preferred stress modality associated with imaging as it is cost-effective and does not use ionizing radiation. Finally, echocardiography plays a pivotal role in the assessment of myocardial viability since the presence and extent of viable myocardium may guide therapeutic strategies. It has been stressed that laboratories and individuals need to have experience and be accredited by the authorities so that the results of echocardiographic investigations will be credible.

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Mease, Philip. Neurobiology of pain in osteoarthritis. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199668847.003.0013.

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Significant advances in our understanding of the neurobiology of pain in osteoarthritis (OA) have occurred in the last decade and are herein summarized. Pain is the predominant symptom of OA and occurs at multiple levels from non-cartilage peripheral tissues to spinal cord, and brain and back. At each level, nerve function is regulated by complex ionic channels, neuropeptide expression, and cytokine and chemokine activity. Previously considered a non-inflammatory condition, it is now recognized that cell proliferation and inflammatory cytokine production occurs in OA synovium, contributing to peripheral sensitization. Genetic profile influences nociceptive neuropeptide expression and thus, pain perception. Both peripheral and central sensitizing factors, including increased neuropeptide and microglial activity, lead to pain augmentation and persistence. Pain processing in brain centres such as the somatosensory cortex and insula are influenced by affective areas such as the amygdala. Descending receptor pathways through the midbrain to the dorsal horn, such as norepinephrine, serotonin, opioid, and cannabinoid, normally provide pain inhibitory function but this function may be diminished in chronic pain states such as OA, leading to allodynia and hyperalgesia. Functional neuroimaging has contributed to our understanding of the complex interplay of peripheral and central mechanisms. Recent evidence that grey matter volume decrease in chronic pain states may be reversible (e.g. after pain relief post OA hip arthroplasty) illuminates the potential for central neuroplasticity. Greater understanding of the neurobiology of OA pain provides evidence for therapeutic approaches that address peripheral and/or central pain mechanisms and provides a guide for future targeted pain therapeutics.

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Book chapters on the topic "REVERSIBLE MULTIPLIER"

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Hänninen, Ismo, Hao Lu, Craig S. Lent, and Gregory L. Snider. "Energy Recovery and Logical Reversibility in Adiabatic CMOS Multiplier." In Reversible Computation, 25–35. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38986-3_3.

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Rotenberg, Eva, James Cranch, Michael Kirkedal Thomsen, and Holger Bock Axelsen. "Strength of the Reversible, Garbage-Free 2 k ±1 Multiplier." In Reversible Computation, 46–57. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38986-3_5.

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Dobbs, Evan E., Robert Basmadjian, Alexandru Paler, and Joseph S. Friedman. "Fast Swapping in a Quantum Multiplier Modelled as a Queuing Network." In Reversible Computation, 256–65. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-79837-6_16.

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Rangaraju, H. G., Aakash Babu Suresh, and K. N. Muralidhara. "Design of Efficient Reversible Multiplier." In Advances in Computing and Information Technology, 571–79. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-31600-5_56.

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Mamataj, Shefali, Biswajit Das, and Saravanan Chandran. "An Approach for Designing an Optimized Reversible Parallel Multiplier by Reversible Gates." In Computational Advancement in Communication Circuits and Systems, 345–55. New Delhi: Springer India, 2015. http://dx.doi.org/10.1007/978-81-322-2274-3_38.

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Hemalatha, K. N., and B. G. Sangeetha. "Performance Analysis of Array Multiplier Using Reversible Logic." In Lecture Notes in Electrical Engineering, 543–60. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-1906-0_46.

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Awade, Anirudh, Prachi Jain, S. Hemavathy, and V. S. Kanchana Bhaaskaran. "Design of Vedic Multiplier Using Reversible Logic Gates." In Lecture Notes in Electrical Engineering, 435–48. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-9019-1_38.

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Swathi, U., and U. Smitha. "Implementation and Performance Evaluation of Various Reversible Vedic Multiplier Architectures for Reversible Digital Filters." In Lecture Notes in Electrical Engineering, 927–47. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2761-3_81.

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Saravanan, P., P. Chandrasekar, Livya Chandran, Nikilla Sriram, and P. Kalpana. "Design and Implementation of Efficient Vedic Multiplier Using Reversible Logic." In Progress in VLSI Design and Test, 364–66. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31494-0_45.

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Nagamani, A. N., and Vinod Kumar Agrawal. "Design of Quantum Cost and Delay-Optimized Reversible Wallace Tree Multiplier Using Compressors." In Advances in Intelligent Systems and Computing, 323–31. New Delhi: Springer India, 2014. http://dx.doi.org/10.1007/978-81-322-2126-5_36.

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Conference papers on the topic "REVERSIBLE MULTIPLIER"

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Banerjee, A., and A. Pathak. "Reversible Multiplier Circuit." In Third International Conference on Emerging Trends in Engineering and Technology (ICETET 2010). IEEE, 2010. http://dx.doi.org/10.1109/icetet.2010.70.

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Thapliyal, H., and M. B. Srinivas. "Novel Reversible Multiplier Architecture Using Reversible TSG Gate." In IEEE International Conference on Computer Systems and Applications, 2006. IEEE, 2006. http://dx.doi.org/10.1109/aiccsa.2006.205074.

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Offermann, Sebastian, Robert Wille, Gerhard W. Dueck, and Rolf Drechsler. "Synthesizing multiplier in reversible logic." In 2010 IEEE 13th International Symposium on Design and Diagnostics of Electronic Circuits & Systems (DDECS). IEEE, 2010. http://dx.doi.org/10.1109/ddecs.2010.5491757.

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Hatkar, A. P., A. A. Hatkar, and N. P. Narkhede. "ASIC Design of Reversible Multiplier Circuit." In 2014 International Conference on Electronic Systems, Signal Processing and Computing Technologies (ICESC). IEEE, 2014. http://dx.doi.org/10.1109/icesc.2014.16.

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Moshnyaga, Vasily G. "Design of minimum complexity reversible multiplier." In TENCON 2015 - 2015 IEEE Region 10 Conference. IEEE, 2015. http://dx.doi.org/10.1109/tencon.2015.7373120.

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Kole, Dipak K., Hafizur Rahaman, Debesh Kumar Das, Somnath Rakshit, and Sraboni Mondal. "A novel reversible synthesis of array multiplier." In 2018 International Symposium on Devices, Circuits and Systems (ISDCS). IEEE, 2018. http://dx.doi.org/10.1109/isdcs.2018.8379667.

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Ravali, B., M. Micheal Priyanka, and T. Ravi. "Optimized reversible logic design for Vedic multiplier." In 2015 International Conference on Control, Instrumentation, Communication and Computational Technologies (ICCICCT). IEEE, 2015. http://dx.doi.org/10.1109/iccicct.2015.7475262.

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Sultana, Jakia, Sajib Kumar Mitra, and Ahsan Raja Chowdhury. "On the Analysis of Reversible Booth's Multiplier." In 2015 28th International Conference on VLSI Design (VLSID). IEEE, 2015. http://dx.doi.org/10.1109/vlsid.2015.34.

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P, Koti Lakshmi, Santhosh Kumar B, and Rameshwar Rao. "Implemenation of Vedic Multiplier Using Reversible Gates." In Fifth International Conference on Advances in Computing and Information Technology. Academy & Industry Research Collaboration Center (AIRCC), 2015. http://dx.doi.org/10.5121/csit.2015.51311.

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Ruhela, Diksha, and Rajni Jindal. "All-Optical N-Bit Reversible Complex Multiplier." In 2022 8th International Conference on Signal Processing and Communication (ICSC). IEEE, 2022. http://dx.doi.org/10.1109/icsc56524.2022.10009114.

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